code: def _check_input_dim(self, input_):
      if input_.size(1) != self.running_mean.nelement():
          raise ValueError(
              "got {}-feature tensor, expected {}".format(
                  input_.size(1), self.num_features
              )
          )
  
file_path: pywick/pywick/functions/batchrenorm.py
imports: import torch
  from torch.nn.modules import Module
  from torch.nn.parameter import Parameter
label_desc: Use image node_id 3 for calling the BatchReNorm1d obj's underlying member method code with example usage: obj._check_input_dim(input_) without return types